Evidence map›Paper›PMID 40759910›Full record

ArticleScientific reports2025

A nationwide population-based study on epidemiologic characteristics and treatment patterns of dry eye disease in South Korea.

Joon Bo Lee, Jiu Lee, Yeo Kyoung Won, Dong Hui Lim

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Joon Bo Lee *Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, 06355, South Korea.
Jiu Lee *Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
Yeo Kyoung WonDepartment of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea. wyk900105@hanmail.net.
Dong Hui LimDepartment of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, 06355, South Korea. ldhlse@gmail.com.

Funding

Ministry of Education NRF-2021R1C1C1007795
6 · The paper itself

Abstract

This study investigated the prevalence of dry eye disease (DED) and the use of major DED medications in South Korea using data from the Health Insurance Review and Assessment database, a nationwide registry with mandatory enrollment. A total of 6,383,885 individuals from 2016 to 2020 were included, selected annually through stratified random sampling. Patients with DED were identified by the ICD-10 code H04.1 assigned as the primary diagnosis by a clinician. Among the total population, 567,141 were diagnosed with DED, yielding a 5-year prevalence of 8.88%. Prevalence was higher in females (11.52%) than in males (5.92%) and increased with age, reaching 21.96% in individuals aged 70-74. Among DED patients, 86.91% received at least one medication. Single-use hyaluronic acid (HA) was most commonly prescribed (43.0%), followed by bottled steroids (24.5%), bottled HA (19.6%), and bottled diquafosol (4.3%). Annual prescriptions of cyclosporine and single-use steroids increased over time. Older patients were more likely to receive bottled formulations than single-use medication. This is the first nationwide study to examine DED prescription patterns on a large-scale population basis in South Korea, and the findings highlight the accessibility of HA-based therapies within a universal health coverage system, offering a distinct perspective compared to global patterns.

Indexed as

Dry Eye SyndromesAdolescentAdultAgedAged, 80 and overChildFemaleHumansHyaluronic AcidMaleMiddle AgedPrevalenceRegistriesRepublic of KoreaYoung AdultHyaluronic AcidDry eye diseaseEpidemiologyHyaluronic acidPrescription patternPrevalenceTreatment pattern

Identifiers

PMID40759910
PMCPMC12322285

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.